public class BeamSearch<T> extends Object
Sequence,
SequenceValidator,
BeamSearchContextGenerator| Constructor and Description |
|---|
BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model)
Creates new search object.
|
BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model,
int cacheSize) |
BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model,
SequenceValidator<T> validator,
int cacheSize) |
| Modifier and Type | Method and Description |
|---|---|
Sequence |
bestSequence(T[] sequence,
Object[] additionalContext)
Returns the best sequence of outcomes based on model for this object.
|
Sequence[] |
bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext) |
Sequence[] |
bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext,
double minSequenceScore)
Returns the best sequence of outcomes based on model for this object.
|
public BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model)
size - The size of the beam (k).cg - the context generator for the model.model - the model for assigning probabilities to the sequence outcomes.public BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model,
int cacheSize)
public BeamSearch(int size,
BeamSearchContextGenerator<T> cg,
MaxentModel model,
SequenceValidator<T> validator,
int cacheSize)
public Sequence[] bestSequences(int numSequences, T[] sequence, Object[] additionalContext)
public Sequence[] bestSequences(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore)
numSequences - The maximum number of sequences to be returned.sequence - The input sequence.additionalContext - An Object[] of additional context. This is passed to the context generator blindly with the assumption that the context are appropiate.minSequenceScore - A lower bound on the score of a returned sequence.public Sequence bestSequence(T[] sequence, Object[] additionalContext)
sequence - The input sequence.additionalContext - An Object[] of additional context. This is passed to the context generator blindly with the assumption that the context are appropiate.Copyright © 2015 The Apache Software Foundation. All rights reserved.